ICP Modeler Skill

Know exactly who you're talking to before you write a single word of copy. The ICP Modeler generates battle-tested buyer profiles for mortgage and real estate products — with specific ad targeting parameters, trigger phrases, pain points, and platform routing built in.

Free vs Premium

Free tier (no API key needed):

• --demo — full crypto-mortgage ICP profile, zero API calls, shows complete output format
• --list — see all 5 available ICPs
• --product <name> — display any pre-built ICP profile (works offline)
• --output json — export any ICP as structured JSON for your own workflows

Premium tier (ANTHROPIC_API_KEY):

• --generate-content "3 facebook posts" — LLM writes content specifically tuned to the ICP's triggers, tone, and platform presence
• --generate-content "30s video script" — ICP-targeted video script
• --generate-content "email subject lines" — subject lines optimized for this buyer's psychology
• Unlimited content generation via Claude Haiku (~$0.001 per call)

The pre-built profiles alone are worth installing — most "targeting" is just age/income. This gives you psychology.

What this skill does

For each product, generates a complete buyer intelligence package:

1. Full buyer persona — age, income, location, occupation, pain points, dream outcome
2. Trigger phrases — exact words and phrases this buyer types into Google and says out loud
3. Content tone guide — how to speak to this buyer without triggering skepticism
4. Platform routing — where this ICP actually hangs out (X, Reddit, LinkedIn, Facebook groups)
5. Meta ad targeting — ages, interests, placements, custom audience strategy
6. Google Ads targeting — keywords, match types, negative keywords, audience layers

Available ICPs

Aliases work: crypto, va, credit, realtor, first-time

Usage

# See the crypto-mortgage ICP with zero setup
python3 icp_modeler.py --demo

# List all available ICPs
python3 icp_modeler.py --list

# Pull a full ICP profile
python3 icp_modeler.py --product "crypto mortgage"
python3 icp_modeler.py --product va-loan
python3 icp_modeler.py --product first-time-buyer

# Export as JSON (pipe into other tools)
python3 icp_modeler.py --product credit-repair --output json

# Generate ICP-tuned content (requires ANTHROPIC_API_KEY)
python3 icp_modeler.py --product crypto --generate-content "3 facebook posts"
python3 icp_modeler.py --product va-loan --generate-content "30s video script"
python3 icp_modeler.py --product first-time --generate-content "email subject lines"

# Version
python3 icp_modeler.py --version

Example output (crypto-mortgage ICP)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ICP: Crypto-Backed Mortgage (Fannie Mae / Coinbase / Better)
     "The Crypto Holder Who Won't Sell"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

DEMOGRAPHICS
  age                  30-48
  income               $120K-$400K household
  location             Target metro, key submarkets and growth corridors
  occupation           Software engineer, finance, entrepreneur, executive

PAIN POINTS
  • Doesn't want to sell crypto and trigger $50K-$500K capital gains tax event
  • Doesn't qualify for traditional mortgage because crypto income isn't W2
  • Feels stuck — 'I have the wealth but can't access it for real estate'

TRIGGER PHRASES
  "don't sell your crypto to buy a house"
  "pledge crypto as collateral"
  "no capital gains event"
  "Fannie Mae crypto"

META AD TARGETING
  Ages:      28-50
  Interests: Cryptocurrency, Bitcoin, Ethereum, XRP, DeFi
  Placement: Facebook Feed, Instagram Feed, Instagram Stories
  Income:    Top 25%

Connecting to other skills

Pipe ICP JSON into the content scorer and content calendar:

# Generate ICP → score the content it suggests → build a calendar
python3 icp_modeler.py --product crypto --output json > icp.json
python3 icp_modeler.py --product crypto --generate-content "5 linkedin posts" | \
  python3 ../content-scorer/score_content.py --stdin

Multi-vertical use

The ICP framework applies to:

• Any mortgage vertical (FHA, VA, USDA, jumbo, crypto-backed, HELOC)
• Real estate agents targeting specific buyer profiles
• Credit repair services targeting pre-approval candidates
• Financial services with segmented buyer journeys
• Coaching/consulting with defined client personas

Extend by adding your own ICP dict to the ICPS dictionary in icp_modeler.py.